{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare analyzers on MNIST"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook shows how saliency maps are computed for various methods on the MNIST dataset. We will first train a simple 3-layer MLP and then apply different methods. In the end we allow for a qualitive assesment by plotting the analysis as a grid.\n",
    "\n",
    "Parts of the code that do not contribute to the main focus are outsourced into utility modules. To learn more about the basic usage of **iNNvestigate** have look into this notebook: [Introduction to iNNvestigate](introduction.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import warnings\n",
    "warnings.simplefilter('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline  \n",
    "\n",
    "import imp\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "import keras\n",
    "import keras.backend\n",
    "import keras.models\n",
    "\n",
    "import innvestigate\n",
    "import innvestigate.utils as iutils\n",
    "\n",
    "# Use utility libraries to focus on relevant iNNvestigate routines.\n",
    "eutils = imp.load_source(\"utils\", \"../utils.py\")\n",
    "mnistutils = imp.load_source(\"utils_mnist\", \"../utils_mnist.py\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data\n",
    "Load the dataset and keep some images from the test set for the analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load data\n",
    "# returns x_train, y_train, x_test, y_test as numpy.ndarray\n",
    "data_not_preprocessed = mnistutils.fetch_data()\n",
    "\n",
    "# Create preprocessing functions\n",
    "input_range = [-1, 1]\n",
    "preprocess, revert_preprocessing = mnistutils.create_preprocessing_f(data_not_preprocessed[0], input_range)\n",
    "\n",
    "# Preprocess data\n",
    "data = (\n",
    "    preprocess(data_not_preprocessed[0]), data_not_preprocessed[1],\n",
    "    preprocess(data_not_preprocessed[2]), data_not_preprocessed[3]\n",
    ")\n",
    "\n",
    "num_classes = len(np.unique(data[1]))\n",
    "label_to_class_name = [str(i) for i in range(num_classes)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model\n",
    "The next part trains and evaluates a CNN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "60000/60000 [==============================] - 27s 452us/step - loss: 0.1344 - acc: 0.9588\n",
      "Epoch 2/20\n",
      "60000/60000 [==============================] - 4s 70us/step - loss: 0.0353 - acc: 0.9891\n",
      "Epoch 3/20\n",
      "60000/60000 [==============================] - 4s 70us/step - loss: 0.0209 - acc: 0.9936\n",
      "Epoch 4/20\n",
      "60000/60000 [==============================] - 4s 72us/step - loss: 0.0137 - acc: 0.9957\n",
      "Epoch 5/20\n",
      "60000/60000 [==============================] - 4s 71us/step - loss: 0.0106 - acc: 0.9965\n",
      "Epoch 6/20\n",
      "60000/60000 [==============================] - 4s 73us/step - loss: 0.0074 - acc: 0.9979\n",
      "Epoch 7/20\n",
      "60000/60000 [==============================] - 4s 71us/step - loss: 0.0069 - acc: 0.9979\n",
      "Epoch 8/20\n",
      "60000/60000 [==============================] - 4s 73us/step - loss: 0.0064 - acc: 0.9978\n",
      "Epoch 9/20\n",
      "60000/60000 [==============================] - 4s 70us/step - loss: 0.0056 - acc: 0.9982\n",
      "Epoch 10/20\n",
      "60000/60000 [==============================] - 4s 73us/step - loss: 0.0054 - acc: 0.9983\n",
      "Epoch 11/20\n",
      "60000/60000 [==============================] - 4s 71us/step - loss: 0.0040 - acc: 0.9989\n",
      "Epoch 12/20\n",
      "60000/60000 [==============================] - 4s 74us/step - loss: 0.0045 - acc: 0.9985\n",
      "Epoch 13/20\n",
      "60000/60000 [==============================] - 4s 73us/step - loss: 0.0041 - acc: 0.9988\n",
      "Epoch 14/20\n",
      "60000/60000 [==============================] - 4s 72us/step - loss: 0.0030 - acc: 0.9990\n",
      "Epoch 15/20\n",
      "60000/60000 [==============================] - 4s 71us/step - loss: 0.0036 - acc: 0.9988\n",
      "Epoch 16/20\n",
      "60000/60000 [==============================] - 4s 72us/step - loss: 0.0040 - acc: 0.9988\n",
      "Epoch 17/20\n",
      "60000/60000 [==============================] - 4s 70us/step - loss: 0.0014 - acc: 0.9998\n",
      "Epoch 18/20\n",
      "60000/60000 [==============================] - 4s 71us/step - loss: 4.1605e-04 - acc: 1.0000\n",
      "Epoch 19/20\n",
      "60000/60000 [==============================] - 4s 69us/step - loss: 2.8512e-04 - acc: 1.0000\n",
      "Epoch 20/20\n",
      "60000/60000 [==============================] - 4s 69us/step - loss: 2.7554e-04 - acc: 1.0000\n",
      "Scores on test set: loss=0.03440540334055904 accuracy=0.9933\n"
     ]
    }
   ],
   "source": [
    "# Create & train model\n",
    "if keras.backend.image_data_format == \"channels_first\":\n",
    "    input_shape = (1, 28, 28)\n",
    "else:\n",
    "    input_shape = (28, 28, 1)\n",
    "\n",
    "model = keras.models.Sequential([\n",
    "    keras.layers.Conv2D(32, (3, 3), activation=\"relu\", input_shape=input_shape),\n",
    "    keras.layers.Conv2D(64, (3, 3), activation=\"relu\"),\n",
    "    keras.layers.MaxPooling2D((2, 2)),\n",
    "    keras.layers.Flatten(),\n",
    "    keras.layers.Dense(512, activation=\"relu\"),\n",
    "    keras.layers.Dense(10, activation=\"softmax\"),\n",
    "])\n",
    "\n",
    "scores = mnistutils.train_model(model, data, batch_size=128, epochs=20)\n",
    "print(\"Scores on test set: loss=%s accuracy=%s\" % tuple(scores))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will set up a list of analysis methods by preparing tuples containing the methods' string identifiers used by `innvestigate.analyzer.create_analyzer(...)`, some optional parameters, a post processing choice for visualizing the computed analysis and a title for the figure to render. Analyzers can be deactivated by simply commenting the corresponding lines, or added by creating a new tuple as below.\n",
    "\n",
    "For a full list of methods refer to the dictionary `investigate.analyzer.analyzers`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Scale to [0, 1] range for plotting.\n",
    "def input_postprocessing(X):\n",
    "    return revert_preprocessing(X) / 255\n",
    "\n",
    "noise_scale = (input_range[1]-input_range[0]) * 0.1\n",
    "ri = input_range[0]  # reference input\n",
    "\n",
    "\n",
    "# Configure analysis methods and properties\n",
    "methods = [\n",
    "    # NAME                    OPT.PARAMS                POSTPROC FXN               TITLE\n",
    "\n",
    "    # Show input\n",
    "    (\"input\",                 {},                       input_postprocessing,      \"Input\"),\n",
    "\n",
    "    # Function\n",
    "    (\"gradient\",              {\"postprocess\": \"abs\"},   mnistutils.graymap,        \"Gradient\"),\n",
    "    (\"smoothgrad\",            {\"noise_scale\": noise_scale,\n",
    "                               \"postprocess\": \"square\"},mnistutils.graymap,        \"SmoothGrad\"),\n",
    "\n",
    "    # Signal\n",
    "    (\"deconvnet\",             {},                       mnistutils.bk_proj,        \"Deconvnet\"),\n",
    "    (\"guided_backprop\",       {},                       mnistutils.bk_proj,        \"Guided Backprop\",),\n",
    "    (\"pattern.net\",           {\"pattern_type\": \"relu\"}, mnistutils.bk_proj,        \"PatternNet\"),\n",
    "\n",
    "    # Interaction\n",
    "    (\"pattern.attribution\",   {\"pattern_type\": \"relu\"}, mnistutils.heatmap,        \"PatternAttribution\"),\n",
    "    (\"deep_taylor.bounded\",   {\"low\": input_range[0],\n",
    "                               \"high\": input_range[1]}, mnistutils.heatmap,        \"DeepTaylor\"),\n",
    "    (\"input_t_gradient\",      {},                       mnistutils.heatmap,        \"Input * Gradient\"),\n",
    "    (\"integrated_gradients\",  {\"reference_inputs\": ri}, mnistutils.heatmap,        \"Integrated Gradients\"),\n",
    "    (\"deep_lift.wrapper\",     {\"reference_inputs\": ri}, mnistutils.heatmap,        \"DeepLIFT Wrapper - Rescale\"),\n",
    "    (\"deep_lift.wrapper\",     {\"reference_inputs\": ri, \"nonlinear_mode\": \"reveal_cancel\"},\n",
    "                                                        mnistutils.heatmap,        \"DeepLIFT Wrapper - RevealCancel\"),\n",
    "    (\"lrp.z\",                 {},                       mnistutils.heatmap,        \"LRP-Z\"),\n",
    "    (\"lrp.epsilon\",           {\"epsilon\": 1},           mnistutils.heatmap,        \"LRP-Epsilon\"),\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The main loop below will now instantiate the analyzer objects based on the loaded/trained model and the analyzers' parameterizations above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/1\n",
      "235/235 [==============================] - 5s 22ms/step - loss: 4.0000 - broadcast_1_loss: 1.0000 - broadcast_2_loss: 1.0000 - broadcast_3_loss: 1.0000 - broadcast_4_loss: 1.0000\n",
      "Epoch 1/1\n",
      "235/235 [==============================] - 5s 23ms/step - loss: 4.0000 - broadcast_5_loss: 1.0000 - broadcast_6_loss: 1.0000 - broadcast_7_loss: 1.0000 - broadcast_8_loss: 1.0000\n"
     ]
    }
   ],
   "source": [
    "# Create model without trailing softmax\n",
    "model_wo_softmax = iutils.keras.graph.model_wo_softmax(model)\n",
    "\n",
    "# Create analyzers.\n",
    "analyzers = []\n",
    "for method in methods:\n",
    "    analyzer = innvestigate.create_analyzer(method[0],        # analysis method identifier\n",
    "                                            model_wo_softmax, # model without softmax output\n",
    "                                            **method[1])      # optional analysis parameters\n",
    "\n",
    "    # Some analyzers require training.\n",
    "    analyzer.fit(data[0], batch_size=256, verbose=1)\n",
    "    analyzers.append(analyzer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we analyze each image with the different analyzers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "\n",
    "n = 10\n",
    "test_images = list(zip(data[2][:n], data[3][:n]))\n",
    "\n",
    "analysis = np.zeros([len(test_images), len(analyzers), 28, 28, 3])\n",
    "text = []\n",
    "\n",
    "\n",
    "for i, (x, y) in enumerate(test_images):\n",
    "    # Add batch axis.\n",
    "    x = x[None, :, :, :]\n",
    "    \n",
    "    # Predict final activations, probabilites, and label.\n",
    "    presm = model_wo_softmax.predict_on_batch(x)[0]\n",
    "    prob = model.predict_on_batch(x)[0]\n",
    "    y_hat = prob.argmax()\n",
    "    \n",
    "    # Save prediction info:\n",
    "    text.append((\"%s\" % label_to_class_name[y],    # ground truth label\n",
    "                 \"%.2f\" % presm.max(),             # pre-softmax logits\n",
    "                 \"%.2f\" % prob.max(),              # probabilistic softmax output  \n",
    "                 \"%s\" % label_to_class_name[y_hat] # predicted label\n",
    "                ))\n",
    "\n",
    "    for aidx, analyzer in enumerate(analyzers):\n",
    "        # Analyze.\n",
    "        a = analyzer.analyze(x)\n",
    "        \n",
    "        # Apply common postprocessing, e.g., re-ordering the channels for plotting.\n",
    "        a = mnistutils.postprocess(a)\n",
    "        # Apply analysis postprocessing, e.g., creating a heatmap.\n",
    "        a = methods[aidx][2](a)\n",
    "        # Store the analysis.\n",
    "        analysis[i, aidx] = a[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we visualize the analysis results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x792 with 150 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Prepare the grid as rectengular list\n",
    "grid = [[analysis[i, j] for j in range(analysis.shape[1])]\n",
    "        for i in range(analysis.shape[0])]\n",
    "# Prepare the labels\n",
    "label, presm, prob, pred = zip(*text)\n",
    "row_labels_left = [('label: {}'.format(label[i]), 'pred: {}'.format(pred[i])) for i in range(len(label))]\n",
    "row_labels_right = [('logit: {}'.format(presm[i]), 'prob: {}'.format(prob[i])) for i in range(len(label))]\n",
    "col_labels = [''.join(method[3]) for method in methods]\n",
    "\n",
    "# Plot the analysis.\n",
    "eutils.plot_image_grid(grid, row_labels_left, row_labels_right, col_labels,\n",
    "                       file_name=os.environ.get(\"PLOTFILENAME\", None))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Each column shows the visualized results for different analyzers and each row shows the analyses w.r.t. to one input sample. To the left of each row, the ground truth label `label` and the predicted label `pred` are show. To the right, the model's probabilistic (softmax) output is shown as `prob` and the logit output just before the terminating softmax layer as `logit`. Note that all analyses have been performed based on the logit output (layer).\n",
    "\n",
    "This figure shows the analysis w.r.t. to most activated neuron, e.g., *actually predicted* class. To see how to analyze the prediction w.r.t. to other neurons/classes have a look here: [Analyzing different classes with MNIST](mnist_neuron_selection.ipynb)\n",
    "\n",
    "If you are curious about how *iNNvestigate* performs on ImageNet model, have a look here: [Comparing methods on ImageNet](imagenet_method_comparison.ipynb) and [Comparing networks on ImageNet](imagenet_network_comparison.ipynb)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
